Fidelity Msci Financials Etf Technical Analysis
| FNCL Etf | USD 76.47 0.78 1.03% |
As of the 29th of January, Fidelity MSCI shows the Mean Deviation of 0.6794, coefficient of variation of 1493.58, and Downside Deviation of 0.873. Fidelity MSCI Financials technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm Fidelity MSCI Financials jensen alpha, and the relationship between the coefficient of variation and potential upside to decide if Fidelity MSCI Financials is priced favorably, providing market reflects its regular price of 76.47 per share.
Fidelity MSCI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fidelity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FidelityFidelity | Build AI portfolio with Fidelity Etf |
Understanding Fidelity MSCI Financials requires distinguishing between market price and book value, where the latter reflects Fidelity's accounting equity. The concept of intrinsic value—what Fidelity MSCI's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push Fidelity MSCI's price substantially above or below its fundamental value.
Please note, there is a significant difference between Fidelity MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Fidelity MSCI's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Fidelity MSCI 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fidelity MSCI's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fidelity MSCI.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Fidelity MSCI on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity MSCI Financials or generate 0.0% return on investment in Fidelity MSCI over 90 days. Fidelity MSCI is related to or competes with Fidelity MSCI, Fidelity MSCI, Fidelity MSCI, IShares MSCI, Fidelity MSCI, SPDR SP, and Xtrackers Harvest. The fund invests at least 80 percent of assets in securities included in the funds underlying index More
Fidelity MSCI Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fidelity MSCI's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fidelity MSCI Financials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.873 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 1.36 |
Fidelity MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity MSCI's standard deviation. In reality, there are many statistical measures that can use Fidelity MSCI historical prices to predict the future Fidelity MSCI's volatility.| Risk Adjusted Performance | 0.0504 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0493 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity MSCI's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Fidelity MSCI January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0504 | |||
| Market Risk Adjusted Performance | 0.0593 | |||
| Mean Deviation | 0.6794 | |||
| Semi Deviation | 0.8222 | |||
| Downside Deviation | 0.873 | |||
| Coefficient Of Variation | 1493.58 | |||
| Standard Deviation | 0.8887 | |||
| Variance | 0.7897 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0493 | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 1.36 | |||
| Downside Variance | 0.7621 | |||
| Semi Variance | 0.6761 | |||
| Expected Short fall | (0.77) | |||
| Skewness | (0.21) | |||
| Kurtosis | 0.3836 |
Fidelity MSCI Financials Backtested Returns
As of now, Fidelity Etf is very steady. Fidelity MSCI Financials secures Sharpe Ratio (or Efficiency) of 0.067, which denotes the etf had a 0.067 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity MSCI Financials, which you can use to evaluate the volatility of the entity. Please confirm Fidelity MSCI's Mean Deviation of 0.6794, downside deviation of 0.873, and Coefficient Of Variation of 1493.58 to check if the risk estimate we provide is consistent with the expected return of 0.0595%. The etf shows a Beta (market volatility) of 1.0, which means a somewhat significant risk relative to the market. Fidelity MSCI returns are very sensitive to returns on the market. As the market goes up or down, Fidelity MSCI is expected to follow.
Auto-correlation | -0.7 |
Very good reverse predictability
Fidelity MSCI Financials has very good reverse predictability. Overlapping area represents the amount of predictability between Fidelity MSCI time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fidelity MSCI Financials price movement. The serial correlation of -0.7 indicates that around 70.0% of current Fidelity MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.53 |
Fidelity MSCI technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
Fidelity MSCI Financials Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Fidelity MSCI Financials volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fidelity MSCI Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Fidelity MSCI Financials on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Fidelity MSCI Financials based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Fidelity MSCI Financials price pattern first instead of the macroeconomic environment surrounding Fidelity MSCI Financials. By analyzing Fidelity MSCI's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Fidelity MSCI's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Fidelity MSCI specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fidelity MSCI January 29, 2026 Technical Indicators
Most technical analysis of Fidelity help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0504 | |||
| Market Risk Adjusted Performance | 0.0593 | |||
| Mean Deviation | 0.6794 | |||
| Semi Deviation | 0.8222 | |||
| Downside Deviation | 0.873 | |||
| Coefficient Of Variation | 1493.58 | |||
| Standard Deviation | 0.8887 | |||
| Variance | 0.7897 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0493 | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 1.36 | |||
| Downside Variance | 0.7621 | |||
| Semi Variance | 0.6761 | |||
| Expected Short fall | (0.77) | |||
| Skewness | (0.21) | |||
| Kurtosis | 0.3836 |
Fidelity MSCI Financials One Year Return
Based on the recorded statements, Fidelity MSCI Financials has an One Year Return of 6.7%. This is 70.97% lower than that of the Fidelity Investments family and significantly higher than that of the Financial category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Fidelity MSCI January 29, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Fidelity stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,280 | ||
| Daily Balance Of Power | 0.92 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 76.13 | ||
| Day Typical Price | 76.25 | ||
| Price Action Indicator | 0.73 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity MSCI Financials. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in unemployment. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Understanding Fidelity MSCI Financials requires distinguishing between market price and book value, where the latter reflects Fidelity's accounting equity. The concept of intrinsic value—what Fidelity MSCI's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push Fidelity MSCI's price substantially above or below its fundamental value.
Please note, there is a significant difference between Fidelity MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Fidelity MSCI's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.